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Object Modeling and Recognition from Sparse, Noisy Data via Voxel Depth Carving.

M. Klingensmith, M. Herrmann, and S. Srinivasa. ISER, volume 109 of Springer Tracts in Advanced Robotics, page 697-713. Springer, (2014)

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Martin Herrmann

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Iterative Methods in Irregular Sampling Theory, Numerical Results.H. Feichtinger, K. Gröchenig, and M. Herrmann. ASST, volume 253 of Informatik-Fachberichte, page 160-166. Springer, (1990)The Product Multi-Sensor Labeled Multi-Bernoulli Filter.M. Herrmann, T. Luchterhand, C. Hermann, and M. Buchholz. FUSION, page 1-8. IEEE, (2023)A Graph Neural Network Approach for Solving the Ranked Assignment Problem in Multi-Object Tracking.R. Dehler, M. Herrmann, J. Strohbeck, and M. Buchholz. IV, page 2646-2652. IEEE, (2024)Reliability-Oriented Product Line Engineering of Embedded Systems.M. Auerswald, M. Herrmann, S. Kowalewski, and V. Schulte-Coerne. PFE, volume 2290 of Lecture Notes in Computer Science, page 83-100. Springer, (2001)LMB Filter Based Tracking Allowing for Multiple Hypotheses in Object Reference Point Association.M. Herrmann, A. Piroli, J. Strohbeck, J. Müller, and M. Buchholz. CoRR, (2020)Optimization of cyclic redundancy-check codes with 24 and 32 parity bits.G. Castagnoli, S. Brauer, and M. Herrmann. IEEE Trans. Commun., 41 (6): 883-892 (1993)Multiple Trajectory Prediction with Deep Temporal and Spatial Convolutional Neural Networks.J. Strohbeck, V. Belagiannis, J. Müller, M. Schreiber, M. Herrmann, D. Wolf, and M. Buchholz. IROS, page 1992-1998. IEEE, (2020)Leveraging combinatorial testing for safety-critical computer vision datasets.C. Gladisch, C. Heinzemann, M. Herrmann, and M. Woehrle. CVPR Workshops, page 1314-1321. Computer Vision Foundation / IEEE, (2020)Self-Assessment for Single-Object Tracking in Clutter Using Subjective Logic.T. Griebel, J. Müller, P. Geisler, C. Hermann, M. Herrmann, M. Buchholz, and K. Dietmayer. FUSION, page 1-8. IEEE, (2022)Notes on the Product Multi-Sensor Generalized Labeled Multi-Bernoulli Filter and its Implementation.M. Herrmann, T. Luchterhand, C. Hermann, T. Wodtko, J. Strohbeck, and M. Buchholz. FUSION, page 1-8. IEEE, (2022)

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Disambiguation of "Herrmann, Martin"

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Object Modeling and Recognition from Sparse, Noisy Data via Voxel Depth Carving.

Please choose a person to relate this publication to

Martin Herrmann

Martin Herrmann

Martin Herrmann

Martin Herrmann

Martin Herrmann

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Herrmann, Martin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Object Modeling and Recognition from Sparse, Noisy Data via Voxel Depth Carving.

Please choose a person to relate this publication to

Martin Herrmann

Martin Herrmann

Martin Herrmann

Martin Herrmann

Martin Herrmann

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Object Modeling and Recognition from Sparse, Noisy Data via Voxel Depth Carving.